Automated Multimodal Data Capture for Photorealistic Construction Progress Monitoring in Virtual Reality

Abstract

Construction monitoring is vital for the timely delivery of projects. However, manual data collection and fusion methods are arduous. We propose a framework for autonomous multimodal data collection and VR visualisation. Based on "work-in-progress" results, we demonstrate its capabilities in-the-lab and validate its functionality on a real site. We explore how such a framework could complement construction-centric deep learning and 4D as-built datasets to aid human decision-making using VR.